About the job
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As a Clinical Modeler - In-silico trial pipeline engineer within our Clinical Modeling and Evidence Integration team / Hyderabad, you'll enable predictive model standardization and workflow (i.e. 'tidymodels' framework) and implement for in-silico trial visualization templates to assist exchange, communication and impact.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
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Main responsibilities:
Provides data visualization (potentially interactive graphics) and summary.
Develop model interactive visualization application (i.e. Rshiny)
Implement standard predictive model workflow (i.e. via 'tidymodels' framework).
Collaborate with cross-functional teams to understand scientific questions to deliver relevant and impactful visualizations and/or standardization process.
Assist and may work under the direction of clinical modelers.
About you/Experience:
Knowledge/experience in predictive modeling or statistical/machine learning.
Excellent Python and/or R programming skills are required. Experience in 'tidymodels' framework is a plus.
Experience using version control systems (eg, Git, GitHub).
Soft and technical skills:
Good interpersonal and communication skills
Good understanding of statistical concepts. Some knowledge about clinical development is a plus.
Education: MS in statistics, Machine Learning, Data Science, mathematics or other related disciplines
Languages: Python, R, Julia. SAS is a plus.